{"id":"W4388768623","doi":"10.1111/anti.13001","title":"Between Migration and Exile: Muslim Women's Geographies of Citizenship in India","year":2023,"lang":"en","type":"article","venue":"Antipode","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; International Development Research Centre","keywords":"Citizenship; Gender studies; Context (archaeology); Sociology; Ethnography; Islam; Narrative; TRACE (psycholinguistics); Space (punctuation); Political science; Law; Anthropology; History; Politics; Art","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007214581,0.00006472938,0.0001329531,0.0003375086,0.0001466877,0.0000360072,0.00007560238,0.00008904657,0.0000351401],"category_scores_gemma":[0.0001956062,0.00006217635,0.00002508149,0.0009220164,0.0001671284,0.0001653626,0.00001292193,0.00006582194,0.00001084813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002179021,"about_ca_system_score_gemma":0.00004606601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001766158,"about_ca_topic_score_gemma":0.009613168,"domain_scores_codex":[0.9991339,0.0001250385,0.0001991039,0.0001324457,0.0002050759,0.0002044563],"domain_scores_gemma":[0.9996232,0.0001283762,0.00007277937,0.00007637403,0.00005273099,0.00004650846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005678654,0.00001035207,0.8554149,0.0000196814,0.00001136217,0.000001073751,0.1292644,0.000001312865,0.0006463754,0.009363806,0.0009148365,0.004346238],"study_design_scores_gemma":[0.0001377724,0.00004258272,0.9599392,0.00002575684,0.000004774575,7.958874e-8,0.02931775,0.00002985314,0.0005370458,0.008208997,0.001675702,0.00008050989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975674,0.00004780645,0.00001513178,0.0002876356,0.00006599718,0.00013156,0.00001318664,0.00005196233,0.001819292],"genre_scores_gemma":[0.9982015,0.00120821,0.00002871283,0.00003962322,0.0001092061,0.00001520036,0.0000468263,0.000005265373,0.0003454197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1045243,"threshold_uncertainty_score":0.5364374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042418941647973,"score_gpt":0.2930952517032026,"score_spread":0.2726710622867229,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}